DBMS > Impala vs. Oracle vs. Rockset

System Properties Comparison Impala vs. Oracle vs. Rockset

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Editorial information provided by DB-Engines

Name

Description

Analytic DBMS for Hadoop

Widely used RDBMS

A scalable, reliable search and analytics service in the cloud, built on RocksDB

Primary database model

Relational DBMS

Document store

Secondary database models

Document store

Document store
Graph DBMS info

with Oracle Spatial and Graph
RDF store info

with Oracle Spatial and Graph

Relational DBMS
Search engine

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	15.98
Rank	#36	Overall
	#22	Relational DBMS

Score	1346.39
Rank	#1	Overall
	#1	Relational DBMS

Score	0.37
Rank	#224	Overall
	#31	Document stores

Website

www.cloudera.com/products/open-source/apache-hadoop/impala.html

www.oracle.com/database

rockset.com

Technical documentation

www.cloudera.com/documentation/enterprise/latest/topics/impala.html

docs.oracle.com/en/database

docs.rockset.com/overview

Developer

Cloudera

Oracle

Rockset

Initial release

2013

1980

2019

Current release

3.3.0, August 2019

19c, February 2019

License

Commercial or Open Source

Open Source info

Apache Version 2

commercial info

restricted free version is available

commercial

Cloud-based only info

Only available as a cloud service

yes

DBaaS offerings (sponsored links) info

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

C++

C and C++

C++

Server operating systems

Linux

AIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS

hosted

Data scheme

yes

Schemaless in JSON and XML columns

schema-free

Typing

predefined data types such as float or date

yes

dynamic typing

XML support info

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

yes

ingestion from XML files supported

Secondary indexes

yes

all fields are automatically indexed

SQL

Support of SQL

SQL-like DML and DDL statements

yes

with proprietary extensions

Read-only SQL queries, including JOINs

APIs and other access methods

JDBC
ODBC

JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)

HTTP REST

Supported programming languages

All languages supporting JDBC/ODBC

C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic

Go
Java
JavaScript (Node.js)
Python

Server-side scripts info

Stored procedures

yes

user defined functions and integration of map-reduce

PL/SQL

also stored procedures in Java possible

Triggers

yes

Partitioning methods info

Methods for storing different data on different nodes

Sharding

horizontal partitioning info

with the optional Oracle Partitioning

Automatic sharding

Replication methods info

Methods for redundantly storing data on multiple nodes

selectable replication factor

Master-master replication
Master-slave replication

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

query execution via MapReduce

can be realized in PL/SQL

Consistency concepts info

Methods to ensure consistency in a distributed system

Eventual Consistency

Immediate Consistency

Eventual Consistency

Foreign keys info

Referential integrity

yes

Transaction concepts info

Support to ensure data integrity after non-atomic manipulations of data

ACID

isolation level can be parameterized

Concurrency info

Support for concurrent manipulation of data

yes

Durability info

Support for making data persistent

yes

In-memory capabilities info

Is there an option to define some or all structures to be held in-memory only.

yes

Version 12c introduced the new option 'Oracle Database In-Memory'

User concepts info

Access control

Access rights for users, groups and roles info

based on Apache Sentry and Kerberos

fine grained access rights according to SQL-standard

Access rights for users and organizations can be defined via Rockset console

More information provided by the system vendor

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